4 citations · 5 across the 12 of their papers we have counts for
12 papers
Xemo-Talker: Unlock Emotions Explicitly for Audio-Driven Talking Portrait Synthesis
Chaolong Yang, Yinuo Guo, Kai Yao +6
Precise emotion control in audio-driven talking heads remains a challenge due to the reliance on implicit emotion regulation in existing systems, which often leads to indirect and…
Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
Jinming Zhang, Youpeng Yang, Xi Yang +5
Uncertainty in medical image segmentation is inherently non-uniform, with boundary regions exhibiting substantially higher ambiguity than interior areas. Conventional training trea…
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait
Chaolong Yang, Kai Yao, Yuyao Yan +7
Audio-driven single-image talking portrait generation plays a crucial role in virtual reality, digital human creation, and filmmaking. Existing approaches are generally categorized…
Towards Training-Free Open-World Classification with 3D Generative Models
Xinzhe Xia, Weiguang Zhao, Yuyao Yan +4
3D open-world classification is a challenging yet essential task in dynamic and unstructured real-world scenarios, requiring both open-category and open-pose recognition. To addres…
3D-CDRGP: Towards Cross-Device Robotic Grasping Policy in 3D Open World
Weiguang Zhao, Chenru Jiang, Chengrui Zhang +4
Given the diversity of devices and the product upgrades, cross-device research has become an urgent issue that needs to be tackled. To this end, we pioneer in probing the cross-dev…
Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges
Weiguang Zhao, Guanyu Yang, Rui Zhang +5
With the explosive 3D data growth, the urgency of utilizing zero-shot learning to facilitate data labeling becomes evident. Recently, methods transferring language or language-imag…
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation
Chaolong Yang, Yuyao Yan, Weiguang Zhao +4
3D point clouds are rich in geometric structure information, while 2D images contain important and continuous texture information. Combining 2D information to achieve better 3D sem…
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation
Zhaorui Tan, Xi Yang, Zihan Ye +4
Generating consistent and high-quality images from given texts is essential for visual-language understanding. Although impressive results have been achieved in generating high-qua…
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Rui Qiu, Ming Xu, Yuyao Yan +2
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions. Using multi-view information fusion…
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
Weiguang Zhao, Yuyao Yan, Chaolong Yang +3
Instance segmentation on point clouds is crucially important for 3D scene understanding. Most SOTAs adopt distance clustering, which is typically effective but does not perform wel…
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation
Zixian Su, Kai Yao, Xi Yang +4
Unsupervised cross-modality medical image adaptation aims to alleviate the severe domain gap between different imaging modalities without using the target domain label. A key in th…
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
Weiguang Zhao, Chaolong Yang, Jianan Ye +6
While weakly supervised multi-view face reconstruction (MVR) is garnering increased attention, one critical issue still remains open: how to effectively interact and fuse multiple…